The YotaScale platform has already been selected and deployed by several enterprise customers, including AdRoll, Highfive, HomeAway, ProtectWise and Reltio. In addition, the company announced an $8 million Series A financing round led by Crosslink Capital, bringing the company’s funding total to $11.6 million.

“Today’s enterprises are struggling as cloud operations get more complex by the day,” said Asim Razzaq, CEO and co-founder of YotaScale. “The average enterprise has more than 25 tools for managing cost, performance and availability for cloud workloads. Plus, companies spend 30 percent of their cloud operations time on manual tasks that should be automated. Our objective with Autonomous Cloud Operations is to bring intelligence to cloud operations, giving enterprises increased visibility and actionable insights that minimize time-to-resolution and save cost.”

“Continuously optimizing the cost, availability and performance of an application environment is the Holy Grail in DevOps and enterprise IT,” said Torsten Volk, industry analyst at Enterprise Management Associates. “YotaScale provides exactly this continuous optimization based on its AI model, trained on 500 PB of cross-enterprise cloud operations data, and its constant ingestion of live data from cloud provider APIs, along with third-party configuration and performance management solutions.”

Customer-Proven PlatformSeveral leading enterprise customers, including AdRoll, Highfive, HomeAway, ProtectWise and Reltio, have deployed YotaScale in production to manage their public cloud. Unlike cost reporting and other legacy tools, the YotaScale platform applies AI and machine learning for next-generation, real-time cloud infrastructure optimization. The platform guides customers through various stages of cloud maturity, ensuring that every cloud deployment adheres to a company’s cloud operations policies, thereby helping achieve and maintain governance with those policies. The YotaScale platform detects anomalous trends, diagnoses the root cause, suggests fixes and can even make predictions about future usage patterns.

The YotaScale platform uses models that have been tuned using cloud data from hundreds of enterprises. YotaScale’s “secret sauce” is a multi-step, machine learning pipeline tuned over three years on 500+ PB of data across hundreds of enterprises. The YotaScale platform also streamlines cloud operations; workflows are integrated with existing Cloud Ops tools including Slack, JIRA, PagerDuty and more.

New Funding Underscores Company VisionYotaScale recently closed an $8 million Series A round of funding, bringing total funding to $11.6 million. This round was led by Crosslink Capital (Matt Bigge), with participation from existing investors - Pelion Venture Partners (Chad Packard) and Engineering Capital (Ashmeet Sidana). YotaScale also secured a $3.6 million venture round in 2017 from Engineering Capital, Pelion Ventures and angels Jocelyn Goldfein, Timothy Chou and Robert Dykes.

“Limited visibility into cost and performance can cost companies millions of dollars and waste thousands of hours,” said Matt Bigge, partner at Crosslink Capital and new YotaScale board member. “YotaScale is addressing this cloud infrastructure pain point with Autonomous Cloud Operations, which provides needed insight into cloud computing environments. The company has deep infrastructure knowledge in enterprise infrastructure, cloud computing and machine learning and is well-positioned to lead the future of cloud operations.”

About YotaScaleYotaScale, a leader in Autonomous Cloud Operations, provides intelligence and actionable insights into cloud operations, optimizing the infrastructure to meet business needs. YotaScale uses AI to optimize cloud workloads for cost, performance and availability. Founded in 2015, YotaScale uses proprietary machine learning algorithms to process millions of data signals, providing contextually relevant, real-time anomaly detection and recommendations that can be acted upon immediately. The company is privately held and headquartered in Menlo Park, Calif.

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